The University of Groningen in the Netherlands is inviting applications for a fully funded PhD position titled “Mapping Older Migrants’ Family Networks.” The position offers an opportunity to conduct interdisciplinary research on ageing, migration, and social cohesion while working with large-scale population data. The project will explore how family networks among older migrants influence well-being, loneliness, and social integration in the Netherlands.
Application Deadline: 1 April 2026 (23:59 Dutch local time).
This four-year PhD project is hosted by the Faculty of Behavioural and Social Sciences at the University of Groningen and is part of the SOCION research consortium. The position is offered on a full-time basis (1.0 FTE) with a monthly salary ranging from €3,059 to €3,881, depending on the stage of the PhD programme.
Research Focus in University of Groningen
The project focuses on understanding the structure and dynamics of family networks among migrants aged 50 and above in the Netherlands. Family relationships often play a crucial role in providing emotional support, caregiving, and social stability in later life. However, migrants may experience different forms of family structures compared to non-migrants due to transnational ties, geographical dispersion of relatives, and institutional factors.
Using microdata from Statistics Netherlands (CBS), the research will analyse differences in the size, composition, and spatial distribution of kinship networks among older migrants and non-migrants. The project aims to identify how these family networks relate to outcomes such as health, well-being, and experiences of loneliness.
Another important dimension of the project is the comparison of various migrant groups in the Netherlands. By examining migrants with different migration histories and backgrounds, the research will explore how social policies, integration frameworks, and migration pathways shape family structures and support systems in later life.
Research Design and Methods
The PhD project will primarily use a mixed-methods approach that combines quantitative and qualitative research methods.
The quantitative component will rely on CBS microdata, which includes detailed demographic, migration, and household information. This dataset will allow the researcher to construct typologies of family networks by analysing factors such as network size, intergenerational ties, and geographical proximity between relatives.
Geospatial mapping will also be used to examine the spatial distribution of family members and to identify regional differences in family network structures. This analysis will help determine whether the location of family members affects the social support available to older migrants.
If the candidate’s expertise allows, the project may also include a qualitative component. This could involve interviews with older migrants to understand how they perceive and navigate their family networks and social relationships. Such insights would complement the statistical analysis and provide a deeper understanding of lived experiences.
Contribution to Social Cohesion Research
The research forms part of the SOCION consortium, which examines how social cohesion is shaped in modern societies. Older migrants represent a particularly important group in discussions of social cohesion because they often maintain family connections across borders while also interacting with local welfare systems and communities.
By mapping and comparing family networks of migrants and non-migrants, the project will provide new insights into how social ties contribute to social cohesion. The findings are expected to support policymakers and institutions in identifying vulnerable groups and designing more effective social support strategies.
Candidate Profile
Applicants should hold a Master’s degree in sociology or a closely related discipline. Candidates should have a strong interest in research on migration, social cohesion, or ageing. A solid methodological background is required, ideally including experience with both quantitative and qualitative research methods.
Because the project involves extensive data analysis, applicants must have prior experience with programming or statistical analysis. Knowledge of Python is considered an advantage, although it can also be developed during the PhD programme. Professional proficiency in English is required, while knowledge of Dutch is considered a plus.
The university is looking for candidates who are collaborative, motivated, and interested in interdisciplinary research. Strong analytical skills, planning abilities, and communication skills are also important for this role.
Employment Conditions
The selected candidate will receive a four-year employment contract, initially offered for one year and extended for the remaining three years after a positive evaluation. The position includes 232 vacation hours per year based on a 38-hour work week, along with an end-of-year bonus and holiday allowance.
The University of Groningen also offers extensive opportunities for professional and personal development, making it an attractive environment for early-career researchers.
About the University of Groningen
The University of Groningen is one of the leading research universities in Europe. It is known for its strong emphasis on interdisciplinary research and collaboration with societal partners, including businesses, government institutions, and civic organisations.
The Faculty of Behavioural and Social Sciences hosts more than 4,500 students and approximately 650 staff members who work on major social challenges related to health, education, social inclusion, and sustainability. The faculty focuses on strengthening both individual and societal resilience through innovative research and teaching.
This PhD position offers a unique opportunity to contribute to cutting-edge research on migration, ageing, and social networks while working in an internationally recognised academic environment.
Application can be accessed from here.
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